Generative artificial intelligence and non-pharmacological bias: an experimental study on cancer patient sexual health communications

Objectives The objective of this study was to explore the feature of generative artificial intelligence (AI) in asking sexual health among cancer survivors, which are often challenging for patients to discuss.Methods We employed the Generative Pre-trained Transformer-3.5 (GPT) as the generative AI p...

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Veröffentlicht in:BMJ health & care informatics 2024-04, Vol.31 (1), p.e100924
Hauptverfasser: Hanai, Akiko, Ishikawa, Tetsuo, Kawauchi, Shoichiro, Iida, Yuta, Kawakami, Eiryo
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Sprache:eng
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Zusammenfassung:Objectives The objective of this study was to explore the feature of generative artificial intelligence (AI) in asking sexual health among cancer survivors, which are often challenging for patients to discuss.Methods We employed the Generative Pre-trained Transformer-3.5 (GPT) as the generative AI platform and used DocsBot for citation retrieval (June 2023). A structured prompt was devised to generate 100 questions from the AI, based on epidemiological survey data regarding sexual difficulties among cancer survivors. These questions were submitted to Bot1 (standard GPT) and Bot2 (sourced from two clinical guidelines).Results No censorship of sexual expressions or medical terms occurred. Despite the lack of reflection on guideline recommendations, ‘consultation’ was significantly more prevalent in both bots’ responses compared with pharmacological interventions, with ORs of 47.3 (p
ISSN:2632-1009
2632-1009
DOI:10.1136/bmjhci-2023-100924